sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna

Type Article
Date 2019-11
Language English
Author(s) Chapman Abbie S. A.1, 2, Beaulieu Stace E.3, Colaço Ana4, 5, Gebruk Andrey V.6, Hilario Ana7, Kihara Terue C.8, Ramirez‐llodra Eva9, Sarrazin Jozee10, Tunnicliffe Verena11, Amon Diva J.12, Baker Maria C.1, Boschen‐rose Rachel E.11, 13, Chen Chong14, Cooper Isabelle J.1, Copley Jonathan T.1, Corbari Laure15, Cordes Erik E.16, Cuvelier Daphne5, Duperron Sebastien17, Du Preez Cherisse18, 19, Gollner Sabine20, Horton Tammy21, Hourdez Stéphane22, Krylova Elena M.6, Linse Katrin23, Lokabharathi P. A.24, Marsh Leigh1, Matabos Marjolaine10, Mills Susan Wier3, Mullineaux Lauren S.3, Rapp Hans Tore25, Reid William D. K.26, Rybakova (goroslavskaya) Elena6, A. Thomas Tresa Remya24, Southgate Samuel James27, Stöhr Sabine28, Turner Phillip J.29, Watanabe Hiromi Kayama14, Yasuhara Moriaki30, Bates Amanda E.1, 31, Padolfi John
Affiliation(s) 1 : Ocean and Earth Science University of Southampton Waterfront Campus, National Oceanography Centre Southampton ,United Kingdom
2 : Centre for Biodiversity and Environment Research University College London London,United Kingdom
3 : Woods Hole Oceanographic Institution Massachusetts, USA
4 : IMAR Instituto do Mar, Departamento de Oceanografia e Pescas University of the Azores Horta, Portugal
5 : MARE ‐ Marine Environmental Sciences Centre Horta, Portugal
6 : Shirshov Institute of Oceanology, Russian Academy of Sciences Moscow,Russia
7 : CESAM & Biology Department University of Aveiro Aveiro ,Portugal
8 : Senckenberg am Meer, German Center for Marine Biodiversity Research (DZMB) Wilhelmshaven ,Germany
9 : Norwegian Institute for Water Research Oslo, Norway
10 : Ifremer, Centre de Bretagne REM/EEP, Laboratoire Environnement Profond Plouzané ,France
11 : Department of Biology and School of Earth & Ocean Sciences University of Victoria British Columbia ,Canada
12 : Life Sciences Department Natural History Museum London ,United Kingdom
13 : Seascape Consultants Ltd Ampfield, Romsey Hampshire ,United Kingdom
14 : X‐STAR, Japan Agency for Marine‐Earth Science and Technology (JAMSTEC) Kanagawa, Japan
15 : Muséum national d'Histoire naturelle, Institut Systématique Evolution Biodiversité (ISYEB) CNRS, Sorbonne Université, EPHE Paris ,France
16 : Temple University Philadelphia Pennsylvania, USa
17 : Muséum national d'Histoire naturelle Mécanismes de Communication et Adaptation des Micro‐organismes MNHN CNRS UMR7245Paris ,France
18 : Department of Biology Pennsylvania State University State College Pennsylvania, USA
19 : Fisheries and Oceans Canada, Institute of Ocean Sciences Sidney British Columbia ,Canada
20 : NIOZ Royal Netherlands Institute for Sea Research, Department of Ocean Systems Utrecht University Den Burg (Texel) ,The Netherlands
21 : National Oceanography Centre, University of Southampton Waterfront Campus Southampton ,United Kingdom
22 : Station Biologique de Roscoff, UMR 7144, CNRS ‐ Sorbonne Université, Place G. Teissier Roscoff, France
23 : British Antarctic Survey, High Cross Cambridge ,United Kingdom
24 : Academy of Scientific and Innovative Research (AcSIR), Biological Oceanography Division CSIR‐National Institute of Oceanography Goa ,India
25 : Department of Biology and KG Jebsen Centre for Deep‐Sea Research University of Bergen Bergen, Norway
26 : Marine Sciences ‐ School of Natural and Environmental Sciences Newcastle University Newcastle upon Tyne, United Kingdom
27 : Independent Researcher Southampton ,United Kingdom
28 : Department of Zoology Swedish Museum of Natural History Stockholm ,Sweden
29 : Division of Marine Science and Conservation Nicholas School of the Environment, Duke University Beaufort North Carolina, USA
30 : School of Biological Sciences and Swire Institute of Marine Science The University of Hong Kong, Kadoorie Biological Sciences Building Hong Kong SAR, China
31 : Memorial University of Newfoundland St. John’s Newfoundland and Labrador, Canada
Source Global Ecology And Biogeography (1466-822X) (Wiley), 2019-11 , Vol. 28 , N. 11 , P. 1538-1551
DOI 10.1111/geb.12975
WOS© Times Cited 2
Keyword(s) biodiversity, collaboration, conservation, cross-ecosystem, database, deep sea, functional trait, global-scale, hydrothermal vent, sFDvent
Abstract Motivation Traits are increasingly being used to quantify global biodiversity patterns, with trait databases growing in size and number, across diverse taxa. Despite growing interest in a trait-based approach to the biodiversity of the deep sea, where the impacts of human activities (including seabed mining) accelerate, there is no single repository for species traits for deep-sea chemosynthesis-based ecosystems, including hydrothermal vents. Using an international, collaborative approach, we have compiled the first global-scale trait database for deep-sea hydrothermal-vent fauna - sFDvent (sDiv-funded trait database for the Functional Diversity of vents). We formed a funded working group to select traits appropriate to: (a) capture the performance of vent species and their influence on ecosystem processes, and (b) compare trait-based diversity in different ecosystems. Forty contributors, representing expertise across most known hydrothermal-vent systems and taxa, scored species traits using online collaborative tools and shared workspaces. Here, we characterise the sFDvent database, describe our approach, and evaluate its scope. Finally, we compare the sFDvent database to similar databases from shallow-marine and terrestrial ecosystems to highlight how the sFDvent database can inform cross-ecosystem comparisons. We also make the sFDvent database publicly available online by assigning a persistent, unique DOI. Main types of variable contained Six hundred and forty-six vent species names, associated location information (33 regions), and scores for 13 traits (in categories: community structure, generalist/specialist, geographic distribution, habitat use, life history, mobility, species associations, symbiont, and trophic structure). Contributor IDs, certainty scores, and references are also provided. Spatial location and grain Global coverage (grain size: ocean basin), spanning eight ocean basins, including vents on 12 mid-ocean ridges and 6 back-arc spreading centres. Time period and grain sFDvent includes information on deep-sea vent species, and associated taxonomic updates, since they were first discovered in 1977. Time is not recorded. The database will be updated every 5 years. Major taxa and level of measurement Deep-sea hydrothermal-vent fauna with species-level identification present or in progress. Software format .csv and MS Excel (.xlsx).
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Chapman Abbie S. A., Beaulieu Stace E., Colaço Ana, Gebruk Andrey V., Hilario Ana, Kihara Terue C., Ramirez‐llodra Eva, Sarrazin Jozee, Tunnicliffe Verena, Amon Diva J., Baker Maria C., Boschen‐rose Rachel E., Chen Chong, Cooper Isabelle J., Copley Jonathan T., Corbari Laure, Cordes Erik E., Cuvelier Daphne, Duperron Sebastien, Du Preez Cherisse, Gollner Sabine, Horton Tammy, Hourdez Stéphane, Krylova Elena M., Linse Katrin, Lokabharathi P. A., Marsh Leigh, Matabos Marjolaine, Mills Susan Wier, Mullineaux Lauren S., Rapp Hans Tore, Reid William D. K., Rybakova (goroslavskaya) Elena, A. Thomas Tresa Remya, Southgate Samuel James, Stöhr Sabine, Turner Phillip J., Watanabe Hiromi Kayama, Yasuhara Moriaki, Bates Amanda E., Padolfi John (2019). sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna. Global Ecology And Biogeography, 28(11), 1538-1551. Publisher's official version : https://doi.org/10.1111/geb.12975 , Open Access version : https://archimer.ifremer.fr/doc/00509/62033/